30 research outputs found

    THE IMPORTANCE OF CAPITAL MARKET IN ECONOMY

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    All participants in capital markets are asking how to finance investments or to invest money available. The answer to these questions depends on the situation you have: deficit or surplus capital. This article addresses issues concerning the place and role of capital market within the financial markets and in financing investments, trying to highlight the growing importance of this subsystem, shown both to economic agents and to all categories of investors.capital market, stock exchange, investment, economic development

    COMPETITION IN ROMANIAN BANKING SECTOR

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    Recent turmoil in the global financial system has impacted severely on the banking sector with many banks suffering large losses and necessitating the need to raise additional capital privately or through their respective national governments. In our study we investigate the impact of structural reforms performed throughout the European Union (EU) accession process on competition and contestability of banking systems in Romania. The literature of the measurement of competition can be divided into two major approaches: structural and non-structural. The structural approach to the assessment of competition embraces the "Structure-Conduct-Performance Hypothesis" (SCP) and the "Efficient Structure Hypothesis" (ESH). The structural approach, as the name suggests, assesses bank competition by examining measures of market structure such as concentration ratios (the share of assets held by the top 3 or 5 institutions) or indices (e.g., the Herfindhal-Hirschman index) and supposes that higher concentration in the banking market causes less competitive bank conduct and leads to higher bank profitability. The SCP model is originally developed by Bain (1956). The second approach, ESH, developed by Demsetz (1973) and Peltzmann (1977) suggests that the superior performance of the market leaders determines the market structure, implying that higher efficiency produces both higher concentration and greater profitability. The non-structural indicators of competition are mainly based on the measures of monopoly power developed by Lerner (1934). The Lerner Index suggests the mark-up of price over marginal cost. An alternative non-structural indicator of the degree of market competition is the Panzar and Rosse (1987) H-statistic. The H-statistic measures the extent to which changes in banking costs are reflected in changes in banking revenues. In order to examine the level of competition and market power of banks in Romania for period 2003 - 2009, we estimate the non-structural indicators and compare it with the structural indicators of competition. In particular, we measure competition using Lerner index and the H-statistic, indicators what are estimated using bank-level data and are compared with a standard market structure measure of concentration like HHI and CR5. There are no other studies that measure both structural and non-structural competition indicators for Romanian banking sector. Also, our assessment contains a period of seven years including the begging of the implications of the present international financial crises on Romanian banking sector.The structural indicators show continuous increase of competition in the Romanian banking system. Lerner index and H statistic demonstrate that Romanian banking system is characterized by monopolistic competition and relatively competitive practices. Personnel cost, operational cost and financial cost are statistically significant at conventional levels, which imply good fit of the revenue equations. The results also demonstrate that excess fixed assets do not generate abnormal revenue.bank competition, Lerner index, H statistic, structural indicators, Romanian banking system

    A Comparative Analysis of the Efficiency of Romanian Banks

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    In this paper, we analyze the efficiency of the main banks in Romania, the Czech Republic and Hungary for the period 2000-2006, by using the frontier analysis. For the estimation of efficiency of banking we used a nonparametric method – the DEA Method (Data Envelopment Analysis) and a parametric method - the SFA Method (Stochastic Frontier Analysis). The results of the analyses show that the banks in the three East-European countries reach low levels of technical efficiency and cost efficiency, especially the ones in Romania, and that the main factors influencing the level of banks efficiency in these countries are: quality of assets; bank size, annual inflation rate; banking reform and interest rate liberalisation level and form of ownership.efficiency, banking, DEA method, SFA method

    Risk Spillovers and Interconnectedness between Systemically Important Institutions

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    In this paper, we gauge the degree of interconnectedness and quantify the linkages between global and other systemically important institutions, and the global financial system. We document that the two groups and the financial system become more interconnected during the global financial crisis when linkages across groups grow. In contrast, during tranquil times linkages within groups prevail. Global systemically important banks (G-SIBs) contribute most to system-wide distress but are also most exposed. There are more links coming from G-SIBs to other systemically important institutions (O-SIIs) than the other way around, confirming the role of G-SIBs as major risk transmitters in the financial system. The two groups and the global financial system tend to co-vary for periods up to 60 days Prior to their official designation as G-SIBs or O-SIIs, the prevalent news sentiment about these institutions (we measure with a textual analysis) was negative. Importantly, the systemic importance and exposure of G-SIBs and O-SIIs is perceived differently by the Financial Stability Board (FSB) and the European Banking Authority (EBA)

    ESG and systemic risk

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    How do changes in Environmental, Social and Governance (ESG) scores influence banks’ systemic risk contribution? Using a dynamic panel model, we document a beneficial impact of the ESG Combined Score and Governance pillar on banks’ contribution to system-wide distress analysing a panel of 367 publicly listed banks from 47 countries over the period 2007-2020. Stakeholder theory and theory relating social performance to expected returns in which enhanced investments in corporate social responsibility mitigate bank specific risks explain our findings. However, only better corporate governance represents a tool in reducing bank interconnectedness and maintaining financial stability. The results are robust to alternative measures of systemic risk, both contribution and exposure, as well as when estimating a static model. Our findings stress the importance of integrating banks’ ESG disclosure into regulatory authorities’ supervisory mechanisms as qualitative information

    A comparative analysis of performance and soundness indicators of the main Romanian banks

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    The economic literature grants a great attention to bank performance analysis, expressed in terms of competition, concentration, efficiency, productivity and profitability. The main reason for this special attention is the central role of banks in financial intermediation. The efficiency and competition degree at the level of banks and other financial institution are difficult, if not even impossible to directly observe, because the information regarding the production prices (or of credit rates) are not available. In this paper we analyze the performance and soundness indicators of the main Romanian banks, compared with main banks in the Czech Republic and Hungary.banking performance, soundness indicators, profitability

    THE FUNCTIONS OF FINANCIAL INTERMEDIATION - A SURVEY

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    Traditional theories of intermediation are based on transaction costs and asymmetric information. In recent decades although transaction costs and asymmetric information have declined, intermediation has increased. New markets for financial futures and options are mainly markets for intermediaries rather than individuals or firms. In this paper we survey the last theoretical and empirical research on financial intermediation and functions of financial intermediation. We discuss the functions of intermediation in this new context.financial intermediation, asymmetric information, survey

    The COVID-19 Pandemic and Sovereign Bond Risk

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    Governments around the world are tackling the COVID-19 pandemic with a mix of public health, fiscal, macroprudential, monetary, and/or market-based policies. We assess the impact of the pandemic in Europe on sovereign CDS spreads using an event study methodology. We find that a higher number of cases and deaths and public health containment responses significantly increase the uncertainty among investors in European government bonds. Other governmental policies magnify the effect in the short run as supply chains are disrupted. Moreover, an increased debt-to GDP ratio significantly boosts the cumulative abnormal change of CDS spreads, which indicates that investors are concerned about countries that are too indebted and thus have a limited capacity to intervene and provide fiscal stimuli and emergency fiscal packages to businesses and households

    COMPETITION IN ROMANIAN BANKING SECTOR

    No full text
    Recent turmoil in the global financial system has impacted severely on the banking sector with many banks suffering large losses and necessitating the need to raise additional capital privately or through their respective national governments. In our study we investigate the impact of structural reforms performed throughout the European Union (EU) accession process on competition and contestability of banking systems in Romania. The literature of the measurement of competition can be divided into two major approaches: structural and non-structural. The structural approach to the assessment of competition embraces the Structure-Conduct-Performance Hypothesis (SCP) and the Efficient Structure Hypothesis (ESH). The structural approach, as the name suggests, assesses bank competition by examining measures of market structure such as concentration ratios (the share of assets held by the top 3 or 5 institutions) or indices (e.g., the Herfindhal-Hirschman index) and supposes that higher concentration in the banking market causes less competitive bank conduct and leads to higher bank profitability. The SCP model is originally developed by Bain (1956). The second approach, ESH, developed by Demsetz (1973) and Peltzmann (1977) suggests that the superior performance of the market leaders determines the market structure, implying that higher efficiency produces both higher concentration and greater profitability. The non-structural indicators of competition are mainly based on the measures of monopoly power developed by Lerner (1934). The Lerner Index suggests the mark-up of price over marginal cost. An alternative non-structural indicator of the degree of market competition is the Panzar and Rosse (1987) H-statistic. The H-statistic measures the extent to which changes in banking costs are reflected in changes in banking revenues. In order to examine the level of competition and market power of banks in Romania for period 2003 - 2009, we estimate the non-structural indicators and compare it with the structural indicators of competition. In particular, we measure competition using Lerner index and the H-statistic, indicators what are estimated using bank-level data and are compared with a standard market structure measure of concentration like HHI and CR5. There are no other studies that measure both structural and non-structural competition indicators for Romanian banking sector. Also, our assessment contains a period of seven years including the begging of the implications of the present international financial crises on Romanian banking sector. The structural indicators show continuous increase of competition in the Romanian banking system. Lerner index and H statistic demonstrate that Romanian banking system is characterized by monopolistic competition and relatively competitive practices. Personnel cost, operational cost and financial cost are statistically significant at conventional levels, which imply good fit of the revenue equations. The results also demonstrate that excess fixed assets do not generate abnormal revenue
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